Senior Exposure Management Analyst
Senior Exposure Management Analyst

Senior Exposure Management Analyst

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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Innovation Group

At a Glance

  • Tasks: Lead regulatory reporting and analyse data to manage exposure risks effectively.
  • Company: Ki is revolutionising insurance with cutting-edge technology and a focus on algorithmic solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and a culture that celebrates diversity and innovation.
  • Why this job: Join a fast-growing team at the forefront of digital disruption in the insurance industry.
  • Qualifications: Degree in quantitative risk or data science; experience in Lloyd's market preferred.
  • Other info: Be part of a collaborative environment that values creativity and encourages personal growth.

The predicted salary is between 48000 - 72000 £ per year.

Please visit our careers site to find out more about working at Ki

Full details of the job.

Vacancy Name

Vacancy Name Senior Exposure Management Analyst

Employment Type

Employment Type Permanent

Location

Location London

Role Details Who are we?
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs.
Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd\’s of London market, and the first ever to make $100m in profit in 3 years.
Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.
Where you come in?
From an exposure management perspective, Ki represents a unique opportunity to work within a data and technology rich environment to directly influence the algorithmic underwriting of risks at point of quote in addition to the more traditional post-bind monitoring and reporting of risk aggregations.
The team is responsible for ensuring that Ki identify, measure, manage and report catastrophe risks and material exposures across all classes considering both natural and non-natural catastrophe risks with a particular focus on the reporting and communication of these exposures to internal and external stakeholders.
In addition, the team plays a critical role in the delivery of Ki’s algorithmic underwriting capabilities through the development and maintenance of data and tools applied in the quotation process to support the optimal selection of risks and allocation of capacity reflecting existing exposures and overall risk-taking capacity.
At the heart of this technology and data focused business, the exposure management team works hand in hand with a range of functions spanning actuarial, data science and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures.
What you will be doing:
– Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness, and compliance with regulatory requirements (e.g., RDL/LCM).
– Analyse large datasets to extract insights related to exposure, risk, and regulatory compliance. Identify trends, anomalies, and areas of concern in regulatory/internal reporting.
– Monitor changes in regulatory requirements and ensure reporting processes are updated to reflect new rules and standards. Collaborate with compliance and legal teams to interpret regulatory guidelines.
– Develop and implement process improvements to enhance the efficiency, accuracy, and timeliness of internal and regulatory reporting. Automate reporting workflows where possible using advanced tools and technologies.
– Assist in assessing exposure risks and their impact on regulatory capital requirements. Provide insights to senior management on regulatory reporting trends and potential risks.
– Work with the Catastrophe Modeling, Algorithmic Underwriting, Capital Modelling, Actuarial, Risk and other relevant functions to continuously develop the business’ understanding of its risk profile.
– Provide analytics, management information and reporting to relevant stakeholders (e.g. Underwriting, Outwards Reinsurance, Management and Investors) with a high degree of accuracy and timeliness.
– Contribute to the development of the company’s view of risk and its implementation in the tools, systems and analytics delivered by the team including the evaluation and adoption of emerging external models.
– Provide relevant subject matter expert input into wider Risk & Actuarial projects and deliverables.
– Interact with and maintain good relationships with all internal (e.g., Technology & Data) and external stakeholders (e.g. Model Vendors, Regulators, Brokers and Partner Syndicate Capacity Providers).
– Work cross-functionally with other team members to support product development and advance Ki’s view of risk across various classes of business and product offerings.

What you will bring to the role:
– Educated to degree level with relevant background in quantitative risk, actuarial or data science fields.
– Experience in the Lloyd’s/London Market gained at a (re)insurer, broker, software vendor, regulator, or consultancy exposed to specialty insurance risks.
– Previous experience developing and operating aggregation and reporting methodologies for physical risks.
– Strong awareness and understanding of catastrophe modelling approaches and processes gained through direct exposure and / or formal training e.g. CEEM.
– Previous experience implementing views of risk into aggregation, pricing, and portfolio optimisation and supporting underwriting.
– Advanced IT skills including data manipulation and modelling tools and interest / experience in emerging data science techniques.
– A good understanding of the (re)insurance industry and risk / catastrophe modelling concepts.
– A high level of numeracy skills with a good understanding of actuarial concepts is desirable.
– Able to work effectively as part of a team and on own initiative with high levels of self-motivation.
– Good communication skills with the ability to communicate with different levels.
– The ability to independently prioritise tasks and meet tight deadlines.
– A positive and flexible approach to work and colleagues.
What to expect during the recruitment process:
1) Initial recruiter screening call
2) Interview with hiring manager
3) Technical Interview (this may vary depending on the role)
4) Values Interview
Ki Values:
– Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent
– Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together.
– Be Courageous: Think big, push boundaries. Don’t be afraid to fail because that’s how we learn. Test, adapt, improve – always strive to be better.
Our culture:
At Ki, we are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers.
Inclusion is a critical foundation of our business and people strategies and supports our vision of becoming a market-leading, digital and data-led specialty insurance business. An inclusive workplace fuels innovation because creativity thrives when everyone feels valued, respected, and supported to drive it. So, no matter who you are, where you’re from, how you think, or who you love, we believe you should be you.
What we offer
You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. xwzovoh We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.
If this sounds like a role and a culture that appeals to you, apply now!

Senior Exposure Management Analyst employer: Innovation Group

Ki is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Located in London, employees benefit from a technology-rich environment that encourages personal and professional growth, with opportunities to work alongside industry leaders in algorithmic insurance. With a commitment to recognising individual contributions and a competitive remuneration package, Ki empowers its team members to challenge the status quo and thrive in their careers.
Innovation Group

Contact Detail:

Innovation Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Exposure Management Analyst

✨Tip Number 1

Familiarise yourself with the latest trends in catastrophe modelling and algorithmic underwriting. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.

✨Tip Number 2

Network with professionals in the Lloyd's/London Market. Attend industry events or join relevant online forums to connect with people who can provide insights about Ki and potentially refer you for the position.

✨Tip Number 3

Prepare for the technical interview by brushing up on your data manipulation and modelling skills. Practising with real datasets can give you a competitive edge and show your capability to handle the responsibilities of the role.

✨Tip Number 4

Understand Ki's values and culture deeply. Be ready to discuss how your personal values align with theirs, especially around customer empathy and teamwork, as this will be crucial during the values interview stage.

We think you need these skills to ace Senior Exposure Management Analyst

Quantitative Risk Analysis
Data Science Techniques
Catastrophe Modelling
Regulatory Reporting
Data Manipulation and Modelling Tools
Risk Aggregation Methodologies
Communication Skills
Project Management
Attention to Detail
Numeracy Skills
Problem-Solving Skills
Stakeholder Management
Agile Methodologies
Self-Motivation
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in quantitative risk, actuarial or data science fields. Emphasise any previous roles in the Lloyd's/London Market and your familiarity with catastrophe modelling approaches.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Ki's mission to disrupt the insurance market. Mention specific examples of how your skills align with the responsibilities of the Senior Exposure Management Analyst role, particularly in regulatory reporting and data analysis.

Showcase Your Technical Skills: Detail your advanced IT skills, especially in data manipulation and modelling tools. If you have experience with automation or emerging data science techniques, make sure to highlight these as they are crucial for the role.

Demonstrate Cultural Fit: Ki values inclusivity and collaboration. In your application, reflect on how you embody these values. Share experiences where you've worked effectively in teams or contributed to a positive workplace culture.

How to prepare for a job interview at Innovation Group

✨Understand the Role and Company

Before your interview, make sure you thoroughly understand the responsibilities of a Senior Exposure Management Analyst at Ki. Familiarise yourself with their mission to disrupt the insurance market using technology and data. This will help you align your answers with their goals.

✨Showcase Your Analytical Skills

Be prepared to discuss your experience with large datasets and how you've extracted insights in previous roles. Highlight any specific tools or methodologies you've used for data analysis, especially those relevant to exposure management and regulatory compliance.

✨Demonstrate Cross-Functional Collaboration

Ki values teamwork across various functions. Share examples of how you've successfully collaborated with different teams, such as actuarial, data science, or compliance, to achieve common goals. This will show that you can thrive in their agile environment.

✨Emphasise Your Adaptability

Given the fast-paced nature of the insurance industry, it's crucial to demonstrate your ability to adapt to changing regulations and processes. Discuss any experiences where you've had to quickly learn new rules or implement changes in reporting processes.

Senior Exposure Management Analyst
Innovation Group
Location: London
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